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Main Title: Model reduction of aerobic bioprocess models for efficient simulation
Author(s): Duan, Zhaoyang
Wilms, Terrance
Neubauer, Peter
Kravaris, Costas
Cruz-Bournazou, Mariano Nicolas
Type: Article
Language Code: en
Abstract: Owing to the increasing demand for large scale and high efficiency in manufacturing processes, computer aided tools for process operation and control are rapidly gaining popularity. An important state variable in aerobic processes is the dissolved oxygen, which can be easily measured online and is an important indicator of the metabolic activity. However, due to the fast kinetics of the oxygen transfer, dynamical models describing aerobic bioprocesses tend to be highly stiff. This can lead to significant numerical problems hampering its use for fixed step discretization methods and computationally costly applications such as computer fluid dynamics. In this work we use the slow-motion invariant manifold and the quasi steady state assumption methods to eliminate the differential equation describing the dissolved oxygen (the fast mode). By doing this, the tractability of the model is significantly increased with a neglectable loss in description power. The reduced model is also useful for simplifying the observer design problems, which is demonstrated by a state and parameter estimation example at the end of the work.
Issue Date: 14-Feb-2020
Date Available: 25-Feb-2020
DDC Class: 660 Chemische Verfahrenstechnik
Subject(s): model reduction
dissolved oxygen tension
nonlinear dynamics
Journal Title: Chemical Engineering Science
Publisher: Elsevier
Publisher Place: Amsterdam [u.a.]
Volume: 217
Article Number: 115512
Publisher DOI: 10.1016/j.ces.2020.115512
EISSN: 1873-4405
ISSN: 0009-2509
Appears in Collections:FG Mess- und Regelungstechnik » Publications
FG Bioverfahrenstechnik » Publications

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